[32788f42] feat(list-generator): create React app and FastAPI backend for PDF list generation

list-generator/backend/app/services/pdf_generator.py

@@ -0,0 +1,45 @@
+import pandas as pd
+import os
+from jinja2 import Environment, FileSystemLoader
+from weasyprint import HTML
+import datetime
+
+def generate_school_pdf(institution: str, date_info: str, list_type: str, students_csv_path: str, families_csv_path: str = None, output_dir: str = "/tmp") -> str:
+    # Read CSV data
+    df = pd.read_csv(students_csv_path, sep=";")
+    # Clean column names
+    df.columns = df.columns.str.strip()
+
+    # Group by class
+    grouped = df.groupby("Klasse")
+    class_data = []
+    for class_name, group in grouped:
+        students = group.to_dict("records")
+        class_data.append({"name": class_name, "students": students})
+
+    # Prepare summary data
+    class_counts = [{"name": c, "count": len(g)} for c, g in grouped]
+    total_students = sum(c["count"] for c in class_counts)
+
+    # Setup Jinja2 environment
+    template_dir = os.path.join(os.path.dirname(__file__), "..", "templates")
+    env = Environment(loader=FileSystemLoader(template_dir))
+    template = env.get_template("school_list.html")
+
+    # Render HTML
+    current_time = datetime.datetime.now().strftime("%d.%m.%Y %H:%M Uhr")
+    html_out = template.render(
+        institution=institution,
+        date_info=date_info,
+        class_counts=class_counts,
+        total_students=total_students,
+        class_data=class_data,
+        current_time=current_time
+    )
+
+    # Generate PDF
+    output_filename = f"Listen_{institution.replace( , _)}_{list_type}_{datetime.datetime.now().strftime(%Y-%m-%d_%H-%M)}.pdf"
+    output_path = os.path.join(output_dir, output_filename)
+    HTML(string=html_out).write_pdf(output_path)
+
+    return output_path